On April 7, Didi Chuxing released its 2026 Qingming Festival Travel Highlights. Data shows that with the combined demand for returning home and traveling, the national taxi demand increased by nearly 15% year-on-year. Among them, cross-regional tourism consumption showed strong performance, with cross-regional taxi demand rising by 41% compared to before the holiday. Self-driving tours and AI ride-hailing have become the two major keywords of this holiday.
Key Highlights: AI Ride-Hailing Shifts from "Novelty" to "Mainstream"
This year's most significant change lies in the deep penetration of AI technology:
Explosive Growth: In the week before the holiday, the number of users using Didi's AI ride-hailing increased by 37 times compared to the beginning of the year.
High Demand During the Holiday: AI ride-hailing demand continued to rise during the Qingming Festival, with orders increasing by 86% compared to regular days.
Preferred by Younger Generations: The post-00s generation has become the main force in AI travel, accounting for more than 40%.
User Portrait: Not Just "Fast", but Also "Understanding Me"
The AI assistant "Xiaodi" is reshaping the ride-hailing experience. Users can match personalized services with a single sentence command (such as "I need to take the elderly out and want to walk less"):
Popular Tags: "Fast and cheap," "Fresh air," and "The nearest car" remain the top three demands.
Increased Personalization: Tags such as "SUV for multiple people," "Large trunk," and "Frequently drives long distances" have seen a significant increase in demand.
Complex Planning: AI ride-hailing orders with stopover points increased by 111%, showing that users have become accustomed to letting AI plan multi-stop pickup and drop-off routes.
Travel Trends: "Returning Home + Outing + Micro Vacation" Combined
With increasingly efficient transportation connections, the Qingming holiday has shown clear characteristics of being composite:
Direct Connections: Orders for taxi rides directly from airports and train stations to scenic spots increased by 25% year-on-year.
"Flower-Rich" Cities: Taxi demand for parks and botanical gardens is strong. In second-tier and above cities, Baoding, Dalian, Dongguan, Shenzhen, Kunming, and other cities show the most prominent "flower appreciation" trends.
Popular Destinations: Cities like Yinchuan, Lanzhou, Urumqi, and Changsha saw the highest growth in taxi demand.
Energy Supply: Car Rentals and Charging Demands Rise Together
Data from
Outstanding Cities: Car rental orders in areas such as Yili, Lanzhou, and Yinchuan grew the fastest nationwide.
Family Travel Proportion: Orders for family self-driving trips increased by 58%, with more than 60% of families trying car rentals for the first time.
Power Supply Needs: Didi charging demand increased by 45%, and fuel demand rose by 40% compared to regular days. Cities such as Wuxi and Wuhan had the highest charging popularity during the flower-chasing season.
Conclusion: AI Opens Up a New "Convenient" Life
